为并购行业推出首个人工智能推荐引擎

近年来，初创企业的快速增长和数字业务的主流采用，加上收购企业家、基金和家族办公室的大量涌入，对并购领域产生了重大而积极的影响。尽管交易全面增加，但交易的工作流程和行业方法适应速度缓慢。Flippa引领了行业变革，这一最新公告 – 用于匹配买家和企业的人工智能推荐工具延续了我们的创新方法。

3天前，我们悄悄地向市场推出了推荐引擎。结果非常出色。刚刚发出了 1，000 多份邀请，打开率达到了令人难以置信的 85%，点击率为 40%。正如我们所希望的那样，我们希望帮助企业主退出，帮助买家在全球最有效的市场上获得收益。

人工智能可以在初始匹配过程中提高效率

在这个充满活力和快节奏的环境中，依靠专业网络和CRM的传统方法已不再足够。企业主希望在此过程中提高效率，买方希望交易流程随时可用。因此，新技术，特别是人工智能（AI）在彻底改变交易方式方面的作用变得越来越重要，特别是当它与在业务收购或退出战略中寻找目标有关时。

在并购生态系统中，成功的基础历来依赖于两个关键要素：强大的关系网络和手动制作的公司数据库。但是，经纪人如何确保最佳匹配并确保详尽的搜索，尤其是在买家范围继续呈指数级增长的情况下？

这就是人工智能发挥作用的地方，也是我们在 Flippa 构建的东西;一种帮助企业主、并购顾问和经纪人的工具。

构建可扩展的推荐系统

在Flippa，我们使用尖端的机器学习，我们开发了一个系统，通过利用他们的行动和行为的潜在（或隐藏）意图来告知他们的偏好，将我们的买家与专门为他们挑选的优质列表相匹配。

这是基于潜在买家与在线业务互动方式的在线业务彼此相似程度的可视化表示。

经过大量的训练，该模型已经开始理解隐藏在看似无穷无尽的边和顶点网络中的错综复杂的联系和相互依赖关系 – 使我们能够以以前认为不可能的准确性和规模向用户提供建议。

该解决方案是一个有效的可扩展推荐引擎，买家将通过算法进行匹配，为企业主、顾问和经纪人提供触手可及的买家网络。只需点击“邀请交易”，目标收购方就会收到相关交易的通知，并由Flippa平台进行专业匹配。

这是Flippa交易室的一个例子，显示了Flippa的推荐引擎通过算法为特定业务推荐的买家。

这有效地回答了这个问题：“谁可能会购买我的在线业务？

人工智能的力量在于它能够根据一组示例预测未来的行为。通过算法创建学习模型，人工智能可以分析新数据并预测未来的收购和投资。Flippa平台现在为来自世界各地的初创企业和中小企业提供了一个独特而全面的匹配数据库。

您可以在此处阅读完整的产品公告。我很想听听您对推荐引擎的想法，请轻弹我一个便条 [email protected]

干杯

托尼

产品主管

Introducing The First AI Recommendation Engine for the M&A Industry

In recent years, the rapid growth of startups and mainstream adoption of digital business coupled with the large influx of acquisition entrepreneurs, funds and family offices has significantly and positively impacted the M&A universe. Despite increased deal making across the board the workflow and industry approach to deal making has been slow to adapt. Flippa has led industry change and this latest announcement – an AI powered recommender tool for matching buyers and businesses continues our innovative approach.

We quietly launched the recommender engine to the marketplace 3-days ago. The results are outstanding. Just over 1,000 invites issued with an unbelievable 85% open rate and CTR of 40%. As good as we could hope for as we look to help business owners exit and buyers acquire in the most efficient marketplace globally.

AI Can Lead to Greater Efficiency in the Initial Matching Process

In this dynamic and fast-paced environment, traditional methods of relying on professional networks and CRM’s are no longer sufficient. Business owners want greater efficiency in the process and the buy-side expects deal flow on tap. As a result, the role of new technologies, particularly Artificial Intelligence (AI), has become increasingly important in revolutionizing the way deals are done, particularly as it relates to the search for targets in a business acquisition or exit strategy.

In the M&A ecosystem, the foundation of success has historically relied on two key elements: a robust relationship network, and manually crafted company databases. But how can brokers ensure the best match and ensure an exhaustive search, particularly as the universe of buyers continues to grow exponentially?

This is where AI comes into play and what we have built here at Flippa; a tool that helps business owners, M&A advisors and brokers.

Building a Scalable Recommendation System

At Flippa, using cutting edge machine-learning, we have developed a system that matches our buyers with quality listings picked specifically for them by leveraging the latent (or hidden) intent of their actions and behaviour which informs their preference.

This is a visual representation of how similar online businesses are to each other based on how prospective buyers interact with them.

After a significant amount of training, the model has begun to understand the intricate connections and interdependencies hidden within the seemingly endless network of edges and vertices – allowing us to surface recommendations to our users at an accuracy and scale not previously thought possible.

The solution is an effective scalable recommender engine where buyers will be matched algorithmically giving business owners, advisors and brokers a network of buyers at their fingertips. Just hit ‘Invite to Deal’ and the target acquirer will be notified of a relevant deal, expertly matched by the Flippa platform.

This is an example of a Flippa Deal Room showing buyers who have been algorithmically recommended for a particular business by Flippa’s recommendation engine.

This Effectively Answers the Question: “Who is Likely to Buy My Online Business?”

The power of AI lies in its ability to predict future behavior based on a set of examples. By creating a learning model through algorithms, AI can analyze new data and make predictions about future acquisitions and investments. The Flippa platform now provides a unique and comprehensive matching database on startups and SMEs from around the world.

You can read the full product announcement here. I would love to hear your thoughts on the recommender engine, flick me a note at [email protected]

Cheers,

Tony

Head of Product